Sowmiya Jaganathan
MES Data Analyst
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Job Compatibility Score
MES Data Analyst
28%Here is the candidate evaluation for Sowmiya Jaganathan based on the provided Job Description.
Total Score: 28 / 100
Key Insights: This is a clear misalignment. The JD is for a highly technical, hands-on MES Data Analyst role within a semiconductor or electronics manufacturing environment. The candidate’s background is in Business/Data Analysis within Finance, Fintech, and Banking. While she has strong SQL and data validation skills, she lacks the specific domain expertise (MES, assembly data, traceability) and the manufacturing context that is the core requirement of this role. She would likely struggle to understand the data sources and business processes specific to a fab or electronics assembly line. This is a low-fit candidate for this specific requirement.
📊 Candidate Evaluation Table
| Category | Details from Job Description | Claimed Experience | Relevant Experience | Evidence from Resume | Score |
|---|---|---|---|---|---|
| Job Titles | Data Analyst (MES / Manufacturing) | 5+ years as a Data Analyst | 0 years in MES or Manufacturing | "Data Analyst" at Digitech (Jan 2025-Present), "Business Data Analyst" at Infosys (Dec 2021-Nov 2023), "Business Analyst" at Mphasis (Dec 2016-Nov 2021). All roles are in Finance/Fintech/Banking. | 0/15 |
| Primary Role-Based Skills | 1. Advanced SQL (Joins, CTEs, Window Functions) | 5+ years | 5+ years | "Created custom SQL queries for large-scale trend data analysis (10Mn+ records)" at Infosys. "Automated critical business reporting pipelines using Python and SQL" at Digitech. Skills section lists "SQL (Data Extraction, Transformation, Performance Tuning, Joins, Window Functions)". | 5/20 |
| 2. MES Systems & Operational Data | Not mentioned | 0 years | No mention of MES, Manufacturing Execution Systems, or operational data in a manufacturing context. | ||
| 3. Data Validation & Quality Frameworks | 5+ years | 5+ years | "Enhanced data quality frameworks improving reporting accuracy by 28%" at Digitech. "Performed data validation and reconciliation checks on daily sales and financial data" at Digitech. | ||
| 4. Root-Cause Analysis for Data Discrepancies | 5+ years | 5+ years | "Conducted in-depth root-cause analysis of production incidents" at Mphasis. "Facilitated root cause analysis sessions" at Infosys (Morgan Stanley). | ||
| 5. Large Dataset Analysis (Trends & Issues) | 5+ years | 5+ years | "Analyzed large-scale transactional and customer datasets to identify trends" at Digitech. "Analyzed large-scale housing price data using ZHVI" in Projects. | ||
| Secondary Skills | 1. Traceability Data Analysis | Not mentioned | 0 years | No mention of traceability, lot tracking, or serialization in a manufacturing context. | 0/10 |
| 2. Process Improvement (Manufacturing) | Not mentioned | 0 years | Experience is in process improvement for IT operations and reporting, not manufacturing workflows. | ||
| 3. Stakeholder Collaboration (Ops/Engineering) | 5+ years | 2 years (IT Ops) | "Collaborated with cross-functional stakeholders" at Infosys and Mphasis, but these were IT/Finance stakeholders, not manufacturing engineers or production managers. | ||
| 4. Data Pipeline Consistency (ETL) | 5+ years | 5+ years | "Maintained data integrity across ETL pipelines" at Infosys (Morgan Stanley). "Maintained scalable data pipelines using Autosys and Informatica" at Mphasis. | ||
| Tools & Platforms | 1. MES Systems (e.g., Siemens, Rockwell, SAP ME) | Not mentioned | 0 years | No MES tools mentioned. | 0/10 |
| 2. SQL (Oracle, SQL Server) | 5+ years | 5+ years | Skills section lists "Oracle, MySQL, Microsoft SQL Server". Used SQL extensively in all roles. | ||
| 3. Data Visualization (Power BI, Tableau) | 5+ years | 5+ years | "Developed and maintained interactive dashboards using Tableau and Excel" at Digitech. "Designed an interactive Power BI dashboard" at Infosys. | ||
| Certifications | Not specified in JD | None listed. | 0/5 | ||
| Experience Level | Mid-Level (implied by responsibilities) | 5+ years | 0 years in MES/Manufacturing | Total experience is 8+ years, but none in the required domain. | 3/10 |
| Domain Expertise | Electronics / Semiconductor Manufacturing | 0 years | 0 years | All domain experience is in Finance, Fintech, Payments, Wealth Management, Banking, and Retail. No exposure to manufacturing, supply chain, or engineering data. | 0/10 |
| Consistency Across Summary, Experience, and Education | N/A | N/A | N/A | Summary claims "finance, fintech, payments, wealth management, risk reporting, banking, and retail analytics." This is fully consistent with the work experience and education. | 0/10 |